The Minimum Wage and Inequality The Effects of Education and Technology
Zs´ ofia L. B´ar´any Sciences Po
2013 March
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Motivation Question: What is the contribution of falling minimum wages to increasing inequality? Which are the important channels?
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Motivation Question: What is the contribution of falling minimum wages to increasing inequality? Which are the important channels? Increasing wage inequality in the US since the 1970s particularly sharp during the 1980s graph One prominent explanation: change in labour market institutions In particular the decrease in real federal minimum wages
graph
The effects of minimum wages are usually analyzed in partial equilibrium models minimum wage truncates the distribution and only affects those for who it is close to binding → Correlation of minimum wage and upper tail inequality purely coincidental Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Fig. 23.—Wage inequality and the minimum wage
Source: Card and DiNardo (2002). Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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5
5
.55
.6
.65
Log Points .7
.75
.8
Log 90/50 Hourly Earnings Inequality and Real Minimum Wage
90/50 Gap = 1.51 (0.14) - 0.48 (0.08) x MinWage, R-Squared=0.52
1973
1977
1981
1985
1989
90-50 Wage Gap
1993
1997
2001
2005
E(90-50 Gap | Min Wage)
/50 and 50/10 Hourly Wage Differentials, 1973-2005 (May/ORG CPS).
deflator. In the first panel, the real log minimum wage measure is normalized to zero nd 50/10) for all hourly workers from the May/ORG CPS samples in each year plotted t wage and the contemporaneous log minimum wage. Zs´ ogap fia L. on B´ ar´ aa ny constant (Sciences Po) The Minimum Wage and real Inequality
Source: Autor, Katz and Kearney (2008).
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Main contributions Show that the min wage affects skill prices, which change the incentives that people face when making educational decisions General equilibrium model that allows the full quantitative analysis of the effects of minimum wages Bridges two of the most prominent explanations for increasing inequality: skill-biased technical change and labour market institutions Theoretical contribution: allows both technology and relative labour supply to adjust endogenously → reveals that the interaction of minimum wages and education is important In such a framework a change in the minimum wage affects the entire wage distribution Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Key Ingredients Two sector production economy
Minimum wage
Endogenous skill acquisition
Endogenous technology
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Key Ingredients Two sector production economy I I
high-skilled workers work in one sector, low-skilled workers in the other the two goods they produce are imperfect substitutes
Minimum wage
Endogenous skill acquisition
Endogenous technology
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Key Ingredients Two sector production economy I I
high-skilled workers work in one sector, low-skilled workers in the other the two goods they produce are imperfect substitutes
Minimum wage I
I
workers with marginal product lower than the minimum wage are unemployed everyone else employed in the sector relevant for their skill
Endogenous skill acquisition
Endogenous technology
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
6 / 40
Key Ingredients Two sector production economy I I
high-skilled workers work in one sector, low-skilled workers in the other the two goods they produce are imperfect substitutes
Minimum wage I
I
workers with marginal product lower than the minimum wage are unemployed everyone else employed in the sector relevant for their skill
Endogenous skill acquisition I
individuals make educational decisions optimally - based on idiosyncratic cost and ability
Endogenous technology
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
6 / 40
Key Ingredients Two sector production economy I I
high-skilled workers work in one sector, low-skilled workers in the other the two goods they produce are imperfect substitutes
Minimum wage I
I
workers with marginal product lower than the minimum wage are unemployed everyone else employed in the sector relevant for their skill
Endogenous skill acquisition I
individuals make educational decisions optimally - based on idiosyncratic cost and ability
Endogenous technology I
I
technical change is based on choices made by firms about which sectors to focus their R&D activity on market size effect
Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Key Ingredients Two sector production economy I I
high-skilled workers work in one sector, low-skilled workers in the other the two goods they produce are imperfect substitutes
Minimum wage I
I
workers with marginal product lower than the minimum wage are unemployed everyone else employed in the sector relevant for their skill
Endogenous skill acquisition I
individuals make educational decisions optimally - based on idiosyncratic cost and ability
Endogenous technology I
I
technical change is based on choices made by firms about which sectors to focus their R&D activity on market size effect
Main idea: changes in the minimum wage affect the earnings and employment opportunities differentially across education groups. Zs´ ofia L. B´ ar´ any (Sciences Po)
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Mechanisms - as a reaction to a lower minimum wage 1
Skill composition changes
2
Ability composition changes
3
Directed technology effect
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Mechanisms - as a reaction to a lower minimum wage 1
Skill composition changes I I
I
inflow from unemployment to the low-skilled labour market → low-skilled wages decrease → more education acquisition for those with high enough ability → easier to find employment → less education acquisition at the low end
2
Ability composition changes
3
Directed technology effect
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Mechanisms - as a reaction to a lower minimum wage 1
Skill composition changes I I
I
2
Ability composition changes I I
I 3
inflow from unemployment to the low-skilled labour market → low-skilled wages decrease → more education acquisition for those with high enough ability → easier to find employment → less education acquisition at the low end lower ability workers enter the workforce, widening the range of abilities both labour supplies expand, the average ability in both sectors decreases the average ability in the low-skilled labour market decreases more
Directed technology effect
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Mechanisms - as a reaction to a lower minimum wage 1
Skill composition changes I I
I
2
Ability composition changes I I
I 3
inflow from unemployment to the low-skilled labour market → low-skilled wages decrease → more education acquisition for those with high enough ability → easier to find employment → less education acquisition at the low end lower ability workers enter the workforce, widening the range of abilities both labour supplies expand, the average ability in both sectors decreases the average ability in the low-skilled labour market decreases more
Directed technology effect I
I I
the expansion of the low-skilled labour force dominates, leading to a decrease in the relative supply of skilled labour this makes technology less skill-biased quantitatively very small
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Quantitative Results The fall in minimum wages explains the following fraction of the changes observed in the data from 1981 until 70% 60% 50% 40% 30% 20% 10% 0% 1986
Zs´ ofia L. B´ ar´ any (Sciences Po)
1991
1996
2001
average skill premium
90th/10th percentile
50th/10th percentile
90th/50th percentile
The Minimum Wage and Inequality
2006
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Related Literature I.
Theory
endogenous skill formation, exogenous technology Heckman, Lochner, Taber (1998), Caselli (1999), Galor & Moav (2000), ´ ah´ Abr´ am (2008)
exogenous skill formation, endogenous technology Acemoglu (1998,2002), Kiley (1999)
capital-skill complementarity Krusell, Ohanian, R´ıos-Rull, Violante (2000)
effects of minimum wage on human capital Cahuc and Michel (1996), Ravn and Sorensen (1999)
I allow both skill formation and technology to be endogenous.
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Related Literature II. Empirics
the effects of skill biased technical change on wage inequality in support: Katz&Murphy (1992), Juhn et al (1993), Krueger (1993), Berman et al (1994), Autor, Katz, Krueger (1998), Autor, Katz, Kearney (2005, 2008) against: Card&DiNardo (2002), Beaudry&Green (2005), Lemieux (2006)
the effects of minimum wages on wage inequality DiNardo, Fortin & Lemieux (1996), Lee (1999), Card & DiNardo (2002), Autor, Manning, Smith (2009)
the effects of minimum wages on unemployment negative: Brown et al (1982), Wellington (1991), Neumark & Wascher (1992, 2000), Baker, Benjamin, Stanger (1999) none or small positive: Card (1992), Card & Krueger (1994, 2000), Machin & Manning (1994)
the effects of minimum wages on educational attainment Neumark & Wascher (2003), Neumark & Nizalova (2007), Sutch (2007) Zs´ ofia L. B´ ar´ any (Sciences Po)
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Road map
1
Model
2
Steady State
3
Calibration
4
Results
5
Decomposition
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Overview - Production Final good produced from the two intermediate goods; perfect competition
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Overview - Production Final good produced from the two intermediate goods; perfect competition High- and low-skilled intermediate goods produced using available labour, machines; perfect competition
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Overview - Production Final good produced from the two intermediate goods; perfect competition High- and low-skilled intermediate goods produced using available labour, machines; perfect competition Patent owners produce and sell machines; monopolists profits are increasing in the amount of labour that can use the machine
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Overview - Production Final good produced from the two intermediate goods; perfect competition High- and low-skilled intermediate goods produced using available labour, machines; perfect competition Patent owners produce and sell machines; monopolists profits are increasing in the amount of labour that can use the machine R&D firms invest in improving the quality of machines; free entry more investment into bigger sector, market size effect success → become monopolist patent owners skip Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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Production - Perfect Competition Final good:
l ρ
h ρ
Y = (Y ) + γ(Y )
1
ρ
where ρ < 1. Intermediate good for s ∈ {l, h}: Y s = As (N s )β =
1 1−β
R
1 s,j s,j 1−β dj 0 q (x )
(N s )β
where N s - efficiency units of labour in sector s q s,j - quality of line j, sector s machines x s,j - quantity of line j, sector s machines
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Patent Owners - Monopolists Machines are produced and sold by the patents owners. Only the best quality machine is sold at its monopoly price in each line j. Per period profit for the owner is: π j,s = q j,s β(1 − β)
1−β β
1
(p s ) β N s
for s = l, h
The value of owning the leading vintage of quality q in sector s is: Vtj,s (q) = πtj,s + P(q the best quality at t + 1)
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The Minimum Wage and Inequality
1 V j,s (q) 1 + r t+1
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R&D - Technological Advances
Quality ladder model: each innovation improves the quality of an existing line by a fixed factor, q > 1 if R&D firm k invests zkj units to improve line j, the innovation has Poisson arrival rate ηzkj the cost of investing one unit into R&D to invent a machine of quality q is Bq
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Free entry into the R&D sector ⇒ the expected profit from R&D has to be zero: j,s zt,k (q)
z tj,s (q) |
j,s
1 − e −ηz t {z
(q)
probability of success
1 s,j j,s Et (Vt+1 (q)) = Bqzt,k (q) 1 + r {z } | {z } }|
present value return
cost
where s,j Et (Vt+1 (q)) - the expected value of owning the leading vintage of quality q in line j in sector s at time t + 1
r - the interest rate z j,s t (q) - the total investment on line j in sector s at time t
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Labour Supply Demographic structure every period a new generation of size 1 − λ is born the survival probability is λ from one period to the next heterogeneity in ability and in the time cost of education
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Labour Supply Demographic structure every period a new generation of size 1 − λ is born the survival probability is λ from one period to the next heterogeneity in ability and in the time cost of education Due to perfect competition everyone is paid their marginal product: w s (ai ) = ai β(1 − β)
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1−2β β
1
(p s ) β Q s ≡ ai w s
The Minimum Wage and Inequality
for s = l, h
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Labour Supply Demographic structure every period a new generation of size 1 − λ is born the survival probability is λ from one period to the next heterogeneity in ability and in the time cost of education Due to perfect competition everyone is paid their marginal product: w s (ai ) = ai β(1 − β)
1−2β β
1
(p s ) β Q s ≡ ai w s
for s = l, h
Minimum wage w set by the government: if w s (a) < w → unemployed. Unemployment depends on: ability → a education → w s
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There is a cutoff ability of unemployment for both the high- and low-skilled: w as ≡ s w Decision at birth whether to acquire education or not Cost education takes ci periods → no earnings Benefit education grants access to the high-skilled labour market Two potential reasons for acquiring education: higher wage better protection from unemployment Individuals choose their education to maximize: j ∞ X λ yt+j Et 1+r j=0
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Equilibrium - Steady State
The economy is in a decentralized equilibrium at all times: all sectors maximize their profits individuals maximize their lifetime utility given a sequence of minimum wages.
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Equilibrium - Steady State
The economy is in a decentralized equilibrium at all times: all sectors maximize their profits individuals maximize their lifetime utility given a sequence of minimum wages. Steady state: decentralized equilibrium where all variables are constant or grow at a constant rate.
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Equilibrium - Steady State
The economy is in a decentralized equilibrium at all times: all sectors maximize their profits individuals maximize their lifetime utility given a sequence of minimum wages. Steady state: decentralized equilibrium where all variables are constant or grow at a constant rate. Analyse the effects of a permanent unexpected drop in the minimum wage: change of steady state and transitional dynamics.
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Production The relative quality is constant in the steady state: 1 Q h∗ Q = tl∗ = γ 1−ρ Qt
∗
N h∗ N l∗
βρ 1−ρ
The relative price is: p h∗ p = l∗ = p ∗
N h∗ N l∗
−β
The skill premium per efficiency unit of labour is: 1
1 p h∗ β Qth∗ wth∗ = = γ 1−ρ l∗ l∗ l∗ p wt Qt
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N h∗ N l∗
The Minimum Wage and Inequality
βρ 1−ρ −1
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Unemployment thresholds: w t = ah∗ wth∗ = al∗ wtl∗ As wth∗ > wtl∗ ⇒ ah∗ < al∗
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Unemployment thresholds: w t = ah∗ wth∗ = al∗ wtl∗ As wth∗ > wtl∗ ⇒ ah∗ < al∗ Three cases: 1 a < ah∗ ⇒ unemployed anyway ⇒ no education
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Unemployment thresholds: w t = ah∗ wth∗ = al∗ wtl∗ As wth∗ > wtl∗ ⇒ ah∗ < al∗ Three cases: 1 a < ah∗ ⇒ unemployed anyway ⇒ no education 2 a ∈ [ah∗ , al∗ ) ⇒ unemployed or high-skilled worker ⇒ become high-skilled
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Unemployment thresholds: w t = ah∗ wth∗ = al∗ wtl∗ As wth∗ > wtl∗ ⇒ ah∗ < al∗ Three cases: 1 a < ah∗ ⇒ unemployed anyway ⇒ no education 2 a ∈ [ah∗ , al∗ ) ⇒ unemployed or high-skilled worker ⇒ become high-skilled 3 a ≥ al∗ ⇒ never unemployed, high or low-skilled worker ⇒ become high-skilled if s s ∞ ∞ X X λ λ h∗ h∗ l∗ wt+s + a(1 − c)wt ≥ a wt+s a 1+r 1+r s=1
s=0
can be simplified to: ∗
c ≤c ≡ c ∗:
1− 1−
wtl∗ wth∗ g ∗λ 1+r
cutoff time cost for education, constant, independent of ability
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c
a
Figure: Optimal education
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The Minimum Wage and Inequality
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c
a
ah∗
Figure: Optimal education
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The Minimum Wage and Inequality
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c
U
a
ah∗
Figure: Optimal education
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The Minimum Wage and Inequality
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c
U
a
ah∗ al∗
Figure: Optimal education
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c
U
N h∗
a
ah∗ al∗
Figure: Optimal education
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c
N l∗
c∗
U
N h∗
N h∗ a
ah∗ al∗
Figure: Optimal education
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c
N l∗
c∗
U
N h∗ a
ah∗ al∗
Figure: Optimal education
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Lower Minimum Wage
A lower minimum wage implies: easier to find employment → lower al , ah → previously unemployed flow into the low-skilled labour market ⇒ increase in skill premium ⇒ increases educational attainment at higher parts of ability distribution easier to find employment at very low end of ability distribution → fewer people acquire education as new generations are born, convergence towards new steady state
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c
c0∗
a
l∗
a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
The Minimum Wage and Inequality
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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c
c1∗ c0∗
a
l∗
a1h∗a1l∗ a0h∗ a0
Figure: Change in the optimal education and labour market participation
lighter colours - generations born before announcement darker colours - generations born after announcement Zs´ ofia L. B´ ar´ any (Sciences Po)
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Calibration
e and the The parameters that need to be calibrated: r , λ, β, ρ, γ, q, η, B, w parameters of the ability and cost factor distribution. Parameters set outside the model: one period is set to be 5 years, λ is set to match 45 working years on average → λ = 8/9 the real interest rate is around 5 percent per year → r = 1.055 − 1 the wage bill in the US is around 2/3 of the total output → β = 2/3
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Ability and cost distribution
0
kdensity wage .5 1
1.5
Neither ability, nor cost is observable. Good starting point for choosing the distributions is:
0
2
4
6
8
10
log wage low−skilled
Zs´ ofia L. B´ ar´ any (Sciences Po)
high−skilled
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Assumptions: cost and ability distribution are independent ability log normally distributed time cost uniformly distributed on [0, c] I normalize the mean of the ability distribution to be 1. Wage equation: w s (a) = aw s
⇒ w s = as w s
Define relative ability as: e ais ≡
Zs´ ofia L. B´ ar´ any (Sciences Po)
ai w s (ai ) = as ws
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c Ll∗ c∗
U Lh∗ a
ah∗al∗
Given a cost and ability distribution U, Lh , Ll pin down ah∗ , al∗ and c ∗ .
ah =
Nh Lh
al =
Nl Ll
The ability of individual i working in sector s is then: ais = e ais as = Zs´ ofia L. B´ ar´ any (Sciences Po)
w s (ai ) s a ws
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c
c∗
ah∗ al∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c
c∗
ah∗ al∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c
c∗
ah∗aihal∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c d−18 5
c∗
ah∗aihal∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c
c∗
ah∗ al∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
aih
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The likelihood of observing a d year old high-skilled person with wage w h (i) is: L(w h (i), d) = 0 f (aih ) f (aih )G ( d−18 5 ) h )G (c ∗ ) f (a i f (aih )G (min{c ∗ , d−18 5 })
if aih < ah∗ h if ai ∈ [ah∗ , al∗ ) if aih ∈ [ah∗ , al∗ ) if aih ≥ al∗ if aih ≥ al∗
& & & &
d d d d
≥ 23 < 23 ≥ 23 < 23
c
c∗ d−18 5
ah∗ al∗ Zs´ ofia L. B´ ar´ any (Sciences Po)
aih
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Similarly for a low-skilled person: 0 if ail < al∗ l L(w (i)) = l ∗ f (ai )(1 − G (c )) if ail ≥ al∗ Data: Current Population Survey Outgoing Rotation Group supplements, 1981 high-skilled: those who have some years of college low-skilled: everyone else skill category and employment status → fraction of unemployed, studying, low-skilled and high-skilled workers wage: the residual from regressing the log hourly wages on age, age quadratic, sex and race Values: c = 0.82 σ = 0.73 Zs´ ofia L. B´ ar´ any (Sciences Po)
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Remaining parameters calibrated by minimizing the weighted distance of initial BGP moments from the 1981 data moments. Table: Moments and calibrated parameters
Moment Lu Ll Lh g w h /w l w /w50 w90 /w50 w50 /w10 w h /w
Data 0.0693 0.5338 0.3554 0.0800 1.3344 1.1072 1.7060 1.7006 1.1796
Zs´ ofia L. B´ ar´ any (Sciences Po)
Model 0.1023 0.4923 0.3964 0.0798 1.0518 1.2942 2.4252 2.0778 1.0280
ρ 0.9
γ 1.15
The Minimum Wage and Inequality
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q 2.08
B 0.15
e w 0.4
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Transitional Dynamics
The real value of the minimum wage declined by about 30% after 1981, 20% decline relative to the average low-skilled wage graph initial steady state - 1981 new steady state - 20% lower minimum wage
The transitional dynamics are done as in Schmitt-Grohe and Uribe (2004). Second order approximation of the equations that govern the transitional dynamics around the new steady state.
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high−skilled unemployment cutoff
low−skilled unemployment cutoff
0.4
0.4
0.3
0.3
0.2 1980
2000
2020
2040
2060
0.2 1980
2000
c*
2020
2040
2060
skill premium 1.1
0.37
1.099
0.365
1.098 0.36 1980
2000
2020
2040
2060
1980
2000
2020
2040
2060
2040
2060
2040
2060
Qh/Ql
Nh/Nl 0.771 0.77
0.8465
0.769 0.768 1980
2000
2020
2040
2060
0.8455 1980
2000
h
2020 Nl
N 0.426
0.554
0.424 0.422 0.42 1980
0.548 2000
2020
2040
2060
1980
2000
pl
2020
growth rates 1.084
1.0242 1.082
1.0242 1.0242 1980
gh gl
1.08 2000
2020
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Average skill premium average skill premium 1.04 1.035 1.03 1.025 1.02 1.015 1.01 1.005 1 1980
1990
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Relative percentiles 1.1 1.09 1.08 1.07 1.06 1.05 1.04 1.03 1.02 1.01 1 1980
1990
2000
2010
90/50
2020
2030
2040
50/10
2050
2060
2070
90/10
data Zs´ ofia L. B´ ar´ any (Sciences Po)
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Decomposition
Three simplified versions of the full model (blue): 1
Education & technology exogenous (black)
2
Education exogenous, technology endogenous (green)
3
Education endogenous, technology exogenous (red)
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The Minimum Wage and Inequality
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Decomposition — skill premium 1.05 1.045 1.04 1.035 1.03 1.025 1.02 1.015 1.01 1.005 1 1980 full model
1990
2000
2010
exogenous education
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exogenous technology
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exogenous educ & tech
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Decomposition — wage gaps 90/10
50/10
1.1
1.08
1.08
1.06
1.06 1.04 1.04 1.02
1.02 1 1980
2000
2020
2040
2060
1 1980
2000
2020
2040
2060
90/50 1.03 full model 1.02
exogenous education exogenous technology
1.01
exogenous educ & tech 1 1980
2000
2020
2040
2060
robustness Zs´ ofia L. B´ ar´ any (Sciences Po)
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Concluding remarks I developed a general equilibrium framework where both technology and education are endogenous. In such a framework the minimum wage not only shifts the truncation point of the wage distribution, but alters the incentives for acquiring education for everyone. The drop in the value of the minimum wage has a significant impact on the skill premium and on the distribution of wages in the short run in the long run the effect on the wage distribution is more persistent The decomposition shows that the initial impact is largely driven by the inflow from unemployment into the low-skilled market the directed technology effect is quantitatively small the adjustment of educational attainment increases the effect of minimum wages on inequality over time Zs´ ofia L. B´ ar´ any (Sciences Po)
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Thank you!
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Rising wage inequality 1.35 1.3
1.25 1.2 1.15 1.1
1.05 1 0.95 1973
back
1978
1983
1988
1993
1998
2003
90th/50th percentile
50th/10th percentile
90th/10th percentile
skill premium
back II.
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Minimum wage 6.7
0.53
6.2
0.48
5.7 0.43
5.2 4.7
0.38
4.2
0.33
3.7
0.28
3.2 0.23
2.7 2.2
0.18 1973
1978
1983
1988
1993
1998
2003
real minimum wage minimum wage/average low-skilled wage minimum wage/average high-skilled wage back I.
back II.
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Observed skill premium 1.04 ρ=0.92 ρ=0.65 ρ=0.65,γ=1.05 ρ=0.75 ρ=0.8
1.035
1.03
1.025
1.02
1.015
1.01
1.005
1 1980
1990
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90-10 wage gap 1.1 1.09 1.08 1.07 1.06 1.05 1.04 1.03
ρ=0.92 ρ=0.65 ρ=0.65,γ=1.05 ρ=0.75 ρ=0.8
1.02 1.01 1 1980
1990
2000
2010
2020
2030
2040
2050
2060
2070
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Observed skill premium 1.04 γ=1.15 γ=0.95 γ=1.05 γ=1.25 γ=1.35
1.035
1.03
1.025
1.02
1.015
1.01
1.005
1 1980
1990
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90-10 wage gap 1.1 1.09 1.08 1.07 1.06 1.05 1.04 γ=1.15
1.03
γ=0.95 γ=1.05 γ=1.25 γ=1.35
1.02 1.01 1 1980
1990
2000
2010
2020
2030
2040
2050
2060
2070
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Observed skill premium 1.05 σ=0.72 σ=0.6 σ=0.7 σ=0.75 σ=0.8 σ=0.85
1.045 1.04 1.035 1.03 1.025 1.02 1.015 1.01 1.005 1 1980
1990
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90-10 wage gap 1.12
1.1
1.08
1.06
1.04
σ=0.72 σ=0.6 σ=0.7
1.02
σ=0.75 σ=0.8 σ=0.85
1 1980
1990
2000
2010
2020
2030
2040
2050
2060
2070
back Zs´ ofia L. B´ ar´ any (Sciences Po)
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